Technical articles about on-device AI, browser-based chatbots, NLP, reinforcement learning, and privacy-first machine learning.
An argument for why browser-based machine learning is the future of privacy-first AI, and how ReLU.chat achieves zero data collection.
Read article →An exploration of how reinforcement learning trains a lightweight MLP policy network to compose chatbot responses from knowledge fragments, without any LLM dependency.
A technical deep dive into how modern browser-based chatbots run full NLP pipelines client-side using quantized ONNX models, BM25 retrieval, and RL-trained policy networks.